The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
-
Updated
Nov 2, 2024 - Python
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A contrastive learning based semi-supervised segmentation network for medical image segmentation
A python library for self-supervised learning on images.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Code for ALBEF: a new vision-language pre-training method
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
(CVPR 2021 Oral) Open World Object Detection
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
PyGCL: A PyTorch Library for Graph Contrastive Learning
Code for the paper "Contrastive Clustering" (AAAI 2021)
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Add a description, image, and links to the contrastive-learning topic page so that developers can more easily learn about it.
To associate your repository with the contrastive-learning topic, visit your repo's landing page and select "manage topics."